Unlocking Private Market Data to Enable Self-Service and Customized LP Reporting

All roads continue to lead to private markets across the investment landscape in Q4 2025. The August 7, 2025 executive order set the table for a wide opening of private market investment access to a whole new and massive investor base of retail investors. Led by enthusiastic endowments, pension funds, and insurance companies, global institutional investors are increasingly in longer duration positions in private markets, with nearly 15% in seven-, eight-, and nine-year commitments.ⁱ Family offices are flocking to alts strategies to serve up better returns for their high-net-worth individuals. Additionally, US regulators, including the SEC, have prioritized opening access to digital assets on the blockchain.

Private credit led the tokenized real-world-assets market sector's growth, well outpacing other asset classes with 65% share.ⁱⁱ However, private equity (PE) has stolen the headlines from private credits as SPAC deal volume eclipsed its post-2021 high and the IPO market had its highest week in four years.ⁱⁱⁱ Disclosures and reporting have persisted as challenging functions for alts asset classes, as LPs demand transparency, frequency of reporting, and responsiveness. As new retail cohorts of investors join the fray, they will want no less transparency and speed, as well as personalization.

Reporting to regulators, investors, and other stakeholders need not be an unwieldy, time-consuming, checklist item. For firms and managers working in private market strategies, self-service reporting should be profit centers and competitive differentiators, when powered by automated reporting tools made especially for sophisticated markets.

Self-service reporting 

Now more than ever, as opaque private market assets expand, it is critical that firms trust in their reports and analytics tracking margin and liquidity risk, valuations, and collateral positions. These risk management practices are not only to contain possible intuitional risk but also to systemic risk.^iv

LPs, regulators, and internal stakeholders are pressing fund managers, operations leaders, and investor relations teams to deliver custom, timely, and flexible reporting. Firms have expressed an understandable frustration with the complicated nature of generating reports for portfolios checkered with alt assets, from infrastructure and cryptocurrency to strategies like private debt and secondaries. Further, fund accounting becomes strained by sophisticated vehicles, wrappers, and structures whose data is not standardized, from ETFs and continuations to feeder funds and evergreen funds.

Winning the data chase: why legacy systems fail

People have enough trouble simply pulling and viewing things like comprehensible counterparty exposure reports or collateral sufficiency reports without sending multiple emails to other departments and IT colleagues. The data chase is taxing in time and suffers delays when using old technology and disparate datasets. Beyond being able to view analyses, firms also find it laborious to configure, schedule, and deliver accurate reports that satisfy the stringent requirements from diverse investor bases. See our previously published case study on Improving the Private Markets Investor Experience for more information on empowering GPs to create investor-specific views or summary dashboards of the entire investor base and deliver timely responses to investor inquiries.

Modernized workflows for self-service reporting

The only way to solve this modern problem of working with complex data ecosystems is to unlock private market data for daily use. The only way to satisfy modern investor and regulator expectations for speed and customization is to empower nontechnical users to build, modify, and share data insights. The only way to thrive in complexity and modernize reporting workflows is through the holy trinity of 1) a single source of real-time investment data 2) self-service automation tools 3) flexible, dynamic report generation and delivery.

1. Single source of real-time investment data

This is listed #1 for a good reason. Without modern data management and infrastructure including a centralized repository of normalized, harmonized investment data, no custom or dynamic reporting is remotely possible. According to the 2018 research paper Relating Big Data and Data Quality in Financial Service Organizations, there are 11 V’s of big data, all of which relate to our data science bible: the six dimensions of data quality.^v Having a single source of data truth addresses the most important V’s, allowing people across the organization to access a clear picture of your overall holdings and performance:

• Velocity-Timeliness: The more rapid the data being generated and processed, the more timely the data to use
• Variety-Ease of operations: The more data sources and more varied structure of the data, the more complexity to retrieve, analyze and visualize the data
• Variety-Value: The more data sources and more varied structure of the data, the more difficult it is to create value from the data
• Visibility-Value: The more hidden relationship within the data, the more difficult to create value from the data
• Vast resources-Value: The more resources needed to process the data, the more difficult to create value from the data

2. Automated reporting tools

Investment lifecycle investment solutions, like our own Aquata and Opterra platforms, configure data sources to help quickly generate performance, commitment activity, and returns reports. By allowing firms to customize reusable templates and data visualization tools, private market managers can tailor visually appealing reports using a variety of formats for documents, like LP letters, capital notices, and underlying asset exposure analyses. The user-friendly dashboards, intuitive drag-and-drop interfaces, and customizable filters empower users to create reports easily.

Moreover, self-service, no-code reporting tools offer the flexibility to configure new data points in a low-touch manner. Aquata helps nontechnical users find the information they need, based on questions in plain, everyday language. AI-enabled dashboarding allows users to ask natural language questions and receive answers, as well as automatically generate appealing graphs and charts.

Opterra’s performance allocation and investor accounting products like PerformA are designed specifically for private assets and support a wide range of asset classes by handling diverse metrics and custom calculations.

3. Flexible, dynamic report generation and delivery

Private markets managers need precise, timely data that has been cleanly ingested and standardized to support their investor base with expeditious responses to the growing number of LP inquiries and ensure a healthy partnership with clients. Our Opterra platform’s regulatory technology modernizes inefficient disparate systems empowers firms to schedule and generate automated disclosures and reporting from intricate, modern investment structures. With our Aquata data platform, business users can access and tailor complex investment data across deals, entities, and timelines, without needing to code or wait for engineering resources. These no-code dashboards also enable users to demonstrate transparency and responsiveness both internally and externally with deft ad hoc report creation and on-demand analytics.